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Replenishment Timing Analyzer — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Replenishment Timing Analyzer — Exact Row Deduplication + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Deduplicates replenishment timing records exactly by row and computes a weighted mean for a secondary measure (lead_days or received_units) across up to 200 rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Replenishment timing — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean for supplied replenishment timing records (lead_days, received_units). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports for the supplied replenishment timing data: one covering exact row deduplication results (identifying and removing duplicate rows), and one providing the secondary-measure weighted mean (for either lead_days or received_units as specified). No external lookups or predictions are made; all analysis is performed locally on the submitted data.
Example use cases
Retail lead time deduplication audit
“I've got 150 replenishment records for our retail stores with row IDs, store groups, dates, lead_days, and received_units — can you remove exact duplicate rows and give me a weighted mean of lead_days in two separate reports?”
Warehouse received units weighted average
“Here are 80 replenishment timing entries for our warehouse groups — please deduplicate them exactly by row and calculate the weighted mean of received_units, and give me two summary reports.”
Supply chain timing data cleanup
“I need to clean up our replenishment timing dataset of about 120 rows — deduplicate any exact duplicate records and compute a weighted average for lead_days as the primary field, across all store groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-12-051?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 replenishment timing records with lead_days and received_units and need both exact row deduplication and a weighted mean computation in a single low-cost call ($0.01 USDC). Ideal for retail or supply chain analytics pipelines that need offline, deterministic data cleaning and aggregation without external lookups or predictions. Prefer over general-purpose analytics tools when working specifically with store-group-level replenishment timing data and needing two bundled reports in one operation.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, store_group, date, lead_days, or received_units) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Invalid field enum value (must be 'lead_days' or 'received_units') — rejected input
- All rows are duplicates leaving no unique records — may return empty deduplication result
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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